Top variables that correlate with Popularity of the first name Staci

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Data source: US Social Security Administration
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Popularity of the first name Staci correlates with...

Variable	Correlation	Years	Sys. Score
Kerosene used in Venezuela	r=0.97	42yrs	432
Gasoline pumped in Somalia	r=0.96	42yrs	430
Kerosene used in Turkiye	r=0.95	43yrs	430
Carjackings in the US	r=0.96	27yrs	424
Average number of milk cows in the United States	r=0.92	43yrs	420
Arson in New York	r=0.97	38yrs	417
The marriage rate in Nevada	r=0.97	23yrs	414
The divorce rate in Tennessee	r=0.96	23yrs	414
Burglaries in New York	r=0.95	38yrs	414
The marriage rate in Idaho	r=0.96	23yrs	413
Air pollution in Los Angeles	r=0.97	43yrs	400
Gasoline pumped in Bulgaria	r=0.95	42yrs	399
Air pollution in San Diego, California	r=0.97	43yrs	398
US household spending on books	r=0.95	23yrs	392
US average milk-fat content of frozen dairy products	r=0.97	22yrs	390
The number of prepress technicians and workers in Florida	r=0.96	20yrs	390
The number of typists in New Jersey	r=0.96	20yrs	390
The number of file clerks in North Carolina	r=0.96	20yrs	390
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.96	22yrs	389
US birth rates of triplets or more	r=0.94	20yrs	384
The distance between Neptune and Mercury	r=0.92	48yrs	384
Physical album shipment volume in the United States	r=0.95	24yrs	382
The distance between Neptune and the Sun	r=0.91	48yrs	382
The distance between Neptune and Earth	r=0.91	48yrs	382
Petroluem consumption in Ukraine	r=0.96	30yrs	378
Ticket sales for Arizona Diamondbacks games	r=0.91	22yrs	376
Viewership count for Days of Our Lives	r=0.89	47yrs	371
The wind speed in Nashville	r=0.91	37yrs	371
Customer satisfaction with Verizon	r=0.88	28yrs	368
Air pollution in Los Angeles	r=0.94	43yrs	366
Customer satisfaction with Frontier Communications	r=0.85	28yrs	363
Highest Nielsen rating for a TV show each year	r=0.86	46yrs	361
The number of data entry keyers in Virginia	r=0.96	20yrs	360
GMO use in cotton	r=0.92	23yrs	360
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.95	22yrs	358
Robberies in Oregon	r=0.95	38yrs	354
The distance between Neptune and the moon	r=0.91	48yrs	352
The marriage rate in Alabama	r=0.95	23yrs	352
The number of professional painters in Puerto Rico	r=0.96	20yrs	350
Petroluem consumption in Bulgaria	r=0.94	42yrs	348
The marriage rate in Tennessee	r=0.95	23yrs	342
Burglaries in California	r=0.94	38yrs	342
Kerosene used in Ecuador	r=0.94	42yrs	338
The number of data entry keyers in Arkansas	r=0.95	20yrs	338
US milk fat used to produce fluid beverage milk	r=0.91	22yrs	334
Air pollution in San Diego, California	r=0.95	43yrs	334
Burglaries in Colorado	r=0.94	38yrs	332
The marriage rate in Arkansas	r=0.94	23yrs	330
The number of typists in Florida	r=0.95	20yrs	328
Kerosene used in Mexico	r=0.95	40yrs	327
Air pollution in Oxnard, California	r=0.95	41yrs	322
Burglaries in Oregon	r=0.93	38yrs	321
The divorce rate in Alabama	r=0.93	23yrs	320
The number of cooks, short order in Indiana	r=0.95	20yrs	318
Gasoline pumped in Cuba	r=0.93	42yrs	316
Burglaries in Texas	r=0.93	38yrs	311
The divorce rate in North Carolina	r=0.93	23yrs	310
Air pollution in Riverside, California	r=0.92	43yrs	310
The number of data entry keyers in Mississippi	r=0.95	20yrs	308
Petroluem consumption in Romania	r=0.93	42yrs	306
Burglaries in Connecticut	r=0.93	38yrs	301
The number of brokerage clerks in New York	r=0.95	20yrs	298
The marriage rate in Kentucky	r=0.93	23yrs	298
Kerosene used in Argentina	r=0.92	42yrs	294
Burglaries in Rhode Island	r=0.92	38yrs	290
The number of floral designers in North Carolina	r=0.95	20yrs	288
The marriage rate in Ohio	r=0.93	23yrs	288
Kerosene used in Cuba	r=0.92	42yrs	284
Burglaries in Washington	r=0.92	38yrs	280
The number of data entry keyers in Washington	r=0.95	20yrs	278
The marriage rate in South Dakota	r=0.93	23yrs	278
Kerosene used in Brazil	r=0.91	42yrs	273
Motor vehicle thefts in Massachusetts	r=0.92	38yrs	270
The marriage rate in Virginia	r=0.93	23yrs	268
The number of librarians in Tennessee	r=0.95	16yrs	264
Kerosene used in Thailand	r=0.91	42yrs	263
The divorce rate in Kentucky	r=0.92	23yrs	258
Burglaries in Oklahoma	r=0.91	38yrs	258
Kerosene used in Egypt	r=0.9	42yrs	252
Motor vehicle thefts in Oklahoma	r=0.91	38yrs	248
The marriage rate in South Carolina	r=0.92	23yrs	247
Robberies in New York	r=0.91	38yrs	238
Petroluem consumption in Belarus	r=0.95	30yrs	237
The marriage rate in Wyoming	r=0.92	23yrs	237
The number of CEOs in South Carolina	r=0.95	20yrs	230
Jet fuel used in Ukraine	r=0.95	30yrs	227
The divorce rate in New Hampshire	r=0.91	23yrs	227
The number of computer programmers in Colorado	r=0.94	20yrs	218
The divorce rate in Washington	r=0.91	23yrs	217
Burglary rates in the US	r=0.89	38yrs	215
Kerosene used in French Polynesia	r=0.91	32yrs	213
The number of brokerage clerks in Illinois	r=0.95	20yrs	208
The marriage rate in Arizona	r=0.91	23yrs	206
Arson in Idaho	r=0.91	22yrs	202
Petroluem consumption in Azerbaijan	r=0.9	30yrs	200
The number of human resources assistants in Illinois	r=0.95	20yrs	198
The divorce rate in Ohio	r=0.9	23yrs	196
Arson in United States	r=0.86	38yrs	190
Liquefied petroleum gas used in Greenland	r=0.94	22yrs	188
The number of typists in Illinois	r=0.95	20yrs	188
The number of switchboard operators in Indiana	r=0.95	20yrs	178

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^{What is Sys. Score?} You caught me! While it would be intuitive to sort only by "correlation," I have a big, weird database. If I sort only by correlation, often all the top results are from some one or two very large datasets (like the weather or labor statistics), and it overwhelms the page.

I can't show you *all* the correlations, because my database would get too large and this page would take a very long time to load. Instead I opt to show you a subset, and I sort them by a magic system score. It starts with the correlation, but penalizes variables that repeat from the same dataset. (It also gives a bonus to variables I happen to find interesting.)


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